CIO / Technical Director · Compare a generic AI (Copilot) with a context-aware D365 AI

Copilot vs Skalp AI for D365 F&O development — the factual comparison

Copilot suggests code, but knows neither your instance nor your conventions, and delivers nothing validated. Who owns the result?

TL;DR

Generic AI (Copilot) vs context-aware Skalp AI for D365 F&O: context, deliverable, deployment, outcome-based billing. The factual comparison.

Join the waitlist

Microsoft D365 F&O expertise

10 ans

D365 F&O

1 credit / ticket

≈ €200, degressive in packsA ticket is resolved when SKALP AI successfully develops exactly what was defined during the needs analysis phase and tests pass — ticket handled + code or deliverable made available.

vs €800-1,200 at a typical SI

48 h

Average delivery time

Azure DevOps

Validated by your IT

The problem with your current vendor

Code assistant ≠ outcome-based delivery

✗A generic AI proposes out-of-context code, to be reworked and tested manually.
✗No merged pull request or validation: the result stays on you.
✗License/seat billing, independent of the outcome produced.

How SKALP solves it

Skalp AI delivers context-aware development, tested and validated

✓Client context via MCP (D365 instance) + Azure DevOps: code aligned with YOUR objects.
✓Complete deliverable: X++ code, tests, documentation, PR validated by your IT.
✓Outcome-based billing: 1 credit (≈ €200) per developed ticket, unresolved = not billed.

How it works

Submit your ticket

Describe the business or technical need in a few lines. No 50-page spec required.

AI generates the extension

X++ code, unit tests and documentation produced in under 48 hours.

Validation on your Azure DevOps

Pull request submitted on your repository. Your IT lead reviews and validates before merge.

Delivered — 1 credit (≈ €200)

The credit is only consumed when the development is generated (smart contract). Once merged, it's delivered. No billing if the ticket isn't resolved.

The factual comparison

Criterion	Copilot / generic AI	Skalp AI
Client context	Generic, off-instance	Your instance via MCP + Azure DevOps
Deliverable	Code suggestions to rework	Merged PR, tested, IT-validated
Tests	To be written manually	SysTest generated and run
Deployment	None	To your instance (Pro), go-live (Max)
Billing	License / seat, regardless of outcome	1 credit (≈ €200) on outcome
Responsibility for outcome	You	Unresolved = not billed

Frequently asked questions

Does Skalp AI replace Copilot?+

No, they are complementary. Copilot assists your developers day-to-day in the editor; Skalp AI handles a ticket end to end (scoping, context-aware code, tests, validated PR) and is only billed on outcome.

Who validates the delivered code?+

Your IT, via a pull request on your Azure DevOps. No code is delivered without your explicit approval; you do the merge.

How do the costs compare?+

Copilot is a fixed per-user cost, whether or not useful code is produced. Skalp AI is a variable, outcome-based cost: 1 credit (≈ €200) per ticket actually developed and validated.

To go deeper on the same topic, seen from other angles.

Comparisons

Submit your first ticket

1 credit (≈ €200) if resolved. Nothing if not. Chat and needs analysis free.